{"id":"https://openalex.org/W2759784669","doi":"https://doi.org/10.1109/mmar.2017.8046940","title":"On the efficiency of a fast technique of impulsive noise removal in color digital images","display_name":"On the efficiency of a fast technique of impulsive noise removal in color digital images","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2759784669","doi":"https://doi.org/10.1109/mmar.2017.8046940","mag":"2759784669"},"language":"en","primary_location":{"id":"doi:10.1109/mmar.2017.8046940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar.2017.8046940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013879968","display_name":"\u0141ukasz Mali\u0144ski","orcid":"https://orcid.org/0000-0003-1487-7420"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Lukasz Malinski","raw_affiliation_strings":["Division of Industrial Informatics, Silesian University of Technology, Katowice, Poland"],"affiliations":[{"raw_affiliation_string":"Division of Industrial Informatics, Silesian University of Technology, Katowice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064459980","display_name":"Bogdan Smo\u0142ka","orcid":"https://orcid.org/0000-0003-1883-3580"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Bogdan Smolka","raw_affiliation_strings":["Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044204743","display_name":"D. Jama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132446","display_name":"Katowice School of Technology","ror":"https://ror.org/03dvx1426","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210132446"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Danuta Jama","raw_affiliation_strings":["Katowice School of Technology Rolna 43, Katowice, Poland"],"affiliations":[{"raw_affiliation_string":"Katowice School of Technology Rolna 43, Katowice, Poland","institution_ids":["https://openalex.org/I4210132446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013879968"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":0.3641,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69170037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"855","last_page":"860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.700697660446167},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.672805666923523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6430009603500366},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6145584583282471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6100966334342957},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5561231970787048},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5550447702407837},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.5409444570541382},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5171798467636108},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48081815242767334},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.46949389576911926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46018537878990173},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.41112565994262695},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3663760721683502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3518902659416199},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2892334461212158},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21264734864234924}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.700697660446167},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.672805666923523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6430009603500366},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6145584583282471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100966334342957},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5561231970787048},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5550447702407837},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.5409444570541382},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5171798467636108},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48081815242767334},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.46949389576911926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46018537878990173},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.41112565994262695},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3663760721683502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3518902659416199},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2892334461212158},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21264734864234924},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmar.2017.8046940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar.2017.8046940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324727","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1781289476","https://openalex.org/W2007627285","https://openalex.org/W2025361781","https://openalex.org/W2037919842","https://openalex.org/W2066823170","https://openalex.org/W2083302174","https://openalex.org/W2094564552","https://openalex.org/W2119431230","https://openalex.org/W2133665775","https://openalex.org/W2137467972","https://openalex.org/W2147490290","https://openalex.org/W2162587881","https://openalex.org/W2169467627","https://openalex.org/W2346872478","https://openalex.org/W2499334499","https://openalex.org/W6638061696","https://openalex.org/W6681487491","https://openalex.org/W6724004949"],"related_works":["https://openalex.org/W1969388475","https://openalex.org/W2574820257","https://openalex.org/W2164349598","https://openalex.org/W4313427965","https://openalex.org/W2117577511","https://openalex.org/W2057394174","https://openalex.org/W2484081251","https://openalex.org/W2117032909","https://openalex.org/W2021811787","https://openalex.org/W2131796117"],"abstract_inverted_index":{"In":[0],"the":[1,3,25,31,41,80,85],"paper":[2],"detection":[4,38,60],"efficiency":[5],"of":[6,10,27,40],"a":[7],"fast":[8],"algorithm":[9,21,42],"impulsive":[11,58,86],"noise":[12,59,87],"reduction":[13],"in":[14,49],"color":[15],"images":[16],"is":[17,22,43],"investigated.":[18],"The":[19,37,64],"analyzed":[20,81],"based":[23],"on":[24,56],"sum":[26],"dissimilarity":[28,68],"measures":[29,69,75],"between":[30],"processed":[32],"pixel":[33,67],"and":[34,61,76],"its":[35],"neighbors.":[36],"part":[39],"mainly":[44],"examined":[45],"using":[46],"binary":[47],"classification,":[48],"contrast":[50],"to":[51,84],"other":[52],"works,":[53],"which":[54],"focus":[55],"overall":[57],"suppression":[62],"efficiency.":[63],"most":[65],"efficient":[66],"are":[70,89],"depicted":[71],"among":[72],"various":[73],"distance":[74],"tuning":[77],"parameters":[78],"for":[79],"algorithm,":[82],"adjusted":[83],"intensity,":[88],"recommended.":[90]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
